Revolutionizing 6g Networks: a Machine - Nevers, France - University of Bourgogne, ISAT Nevers
il y a 2 semaines
Description
Revolutionizing 6G Networks:
A Machine Learning-Based Digital Twin for Seamless Teleoperated Driving Experiences:
- Réf
ABG-119648
- Sujet de Thèse 23/01/2024
- Autre financement public
- University of Bourgogne, ISAT Nevers
- Lieu de travail
- Nevers
- Bourgogne-FrancheComté
- France
- Intitulé du sujet
- Revolutionizing 6G Networks: A Machine Learning-Based Digital Twin for Seamless Teleoperated Driving Experiences
- Champs scientifiques
- Informatique
- Sciences de l'ingénieur
- Mots clés
- AI, Machine learning, Digital Twin, Simulation, Knowledge Distillation, Federated Learning, 6G Networks, vehicular networks
Description du sujet:
This PhD thesis is proposed in the context of the European project 6GTWIN "Integrating Network Digital Twinning into Future AI-based 6G Systems" accepted in the second Horizon Europe call under the Smart Networks and Services Joint Undertaking (SNS JU) program.
The DT technology consists in creating a replication of a physical world component based on the simulation of its behaviour and the analysis of data collected from different sources (sensors, recorded history, etc.).
The aim of a digital twin is to provide a reliable tool to ensure behaviour prediction, collaboration and decision making for the most complex real-world systems.
The first DT models have been proposed in the manufacturing sector.This concept gains popularity in many other domains such as the communication networks where the advent of the 6th generation of mobile networks will encompass new upcoming challenges relevant to RAN (Radio Access Networks) heterogeneity, complex and dynamic topologies and automated management solutions.
Prise de fonction:
- 01/03/2024
Nature du financement: - Autre financement public
Précisions sur le financement:
- European project 6GTWIN
Présentation établissement et labo d'accueil: - University of Bourgogne, ISAT Nevers
Site web:
Intitulé du doctorat:
- Computer Science
Pays d'obtention du doctorat: - France
Etablissement délivrant le doctorat:
- UNIVERSITE DE BOURGOGNE
Ecole doctorale: - SPIM
- Good understanding of Machine Learning theory and techniques
- Good programming skills in programming languages and software tools (e.g., Python, Matlab, SUMO, OMNET++, etc.)
- Applications/ domainknowledge in telecommunication is appreciated.
- Well developed communication skills
- Good English language skills in both writing and conversation. 29/02/2024
